| People |
Last Week |
This Week |
Task Tracking (DeadLine)
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| Yibo Liu
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- Reconstructed the model on pytorch.
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- 1.Tune the parameters and train a model with good results.
- 2.Add planning and polishing procedure.
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| Xiuqi Jiang
|
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| Jiayao Wu
|
- finished several experiments on node-sparseness
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- keep on doing experiments
|
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| Zhaodi Qi
|
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- improve the system ，because the results is bad.
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| Jiawei Yu
|
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| Yunqi Cai
|
- 1,use the ASR test_data set ref.txt to test the original bert and then compare with the fine-tuned Bert.
- 2,compare the difference between hyp.text which comes from ASR test results, and investigate how to mask the error in the sentence of the ASR result.
- 3,set a rule among all the result(hyp.text) to find out the error to be masked.
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| Dan He
|
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- Continue to study the time complexity of TT-decomposition
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| Yang Zhang
|
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| Wenwei Dong
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- ivector+fbank as feature compare with fbank in GOP
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- read papers, find some new speaker adaptation methods
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